Title :
Neighborhood systems: mathematical models of information granulations
Author :
Lin, Tsau Young T Y
Author_Institution :
Dept. of Math. & Comput. Sci., San Jose State Univ., CA, USA
Abstract :
The notion of neighborhood systems (NS), which is an abstraction of "near" or "negligible distance," is used to model information granulation. A granule at a point (object) p consists of a clump (crisp/fuzzy set) of data that are related or near the point p. Mathematically, NS, by its definition, includes topological spaces (TS) and rough sets (RS) as special cases. The deeper part of NS is its ability in representing the context dependent notion of near-ness or approximation (via small granule). We apply the idea to formulate the notion of qualitative fuzzy sets.
Keywords :
data models; fuzzy set theory; rough set theory; topology; context dependent notion; crisp set; data clump; fuzzy set; information granulations mathematical models; membership function; neighborhood systems; qualitative fuzzy sets notion; rough sets; topological spaces; Computer science; Fuzzy control; Fuzzy sets; Fuzzy systems; Information retrieval; Mathematical model; Mathematics; Relational databases; Set theory; Topology;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1244381